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Mastering Development

How to use a cut in prolog to find the number of daughters?

Exercise: Observe the family structure below where each person has a gender specification as their third parameter (m = male, f = female). Use a cut to write the predicate numDaughters(L, Count) in such a way that family(Husband, Wife, Kids), numDaughters([Husband, Wife|Kids],X) lists each family in the database and the number of daughters in each […]

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Mastering Development

Filling NaN values in pandas after grouping

This question is slightly different from usual filling of NaN values. Suppose I have a dataframe, where in I group by some category. Now I want to fill the NaN values of a column by using the mean value of that group but from different column. Let me take an example: a = pd.DataFrame({ ‘Occupation’: […]

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Mastering Development

How to get Percentage in two categorical variables in R

Just suppose you have total number of samples as 8. Data frame looks like that. All the individuals having Healthscore less than 3 are Healthy and All having health scores greater than 3 are Sick. Status shows their employement status. Status<-(Employed,Unemployed,Student,Student,Employed,Unemployed,Unemployed,Housewife) Health<-(Healthy,Healthy,Healthy,Sick,Sick,Control,Sick,Sick) df<-(Status,Health) level(Health)<-(“Healthy,”Sick”,Control) level(Status)<-(“Employed”,”Unemployed”,”Student”,”Housewife”) I want to see the percentage of Healthy,Sick or Control […]

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Development

‘serving_default’ : Classification input must be a single string Tensor

I’m building a very simple Classifier. The input data has the following features job object marital object education object default int64 housing int64 loan int64 contact object dayofmonth object month object duration int64 campaign int64 pdays int64 previous int64 poutcome object First version of the serving function def serving_input_receiver_fn(): feature_spec = { ‘job’ : tf.placeholder(dtype […]